Project at a Glance
- £300m global turnover
- Distribution business
- Family-owned company
- PE-style culture
- Brand-new technology
Problem
Our client, a £300m distribution business was suffering from poor sales performance and a new dynamic CEO had just been appointed to turn around the business.
To deliver the new value creation plan the business needed to create new ways of working which involved new technologies including enhanced reporting down to SKU level.
As part of a larger transformational delivery team Williams Bain supplied an Interim Data Scientist who had a proven track record in using R and Python to build best in class models which in turn would develop into machine learning capability across the whole organisation.
Approach
- Collaborated with Business on Requirements and Models
- Interface with the IT team to ensure platform capability
- Build and test models to ensure accuracy and user acceptance
- Create best in class reporting that the business could use
Results
Creating Machine Learning Capability: Using historical and predictive models to create value
- Built a Dynamic Pricing Model
- Product Rationalization Model
- Product Supply Model
Skills and Experience
The Interim Manager – 101440092
- Technical ability – Deep model creation capability using R and Python
- Business facing – Providing a bridge between the business and IT. Ensuring user requirements are always met
- Collaborated Leadership – Translated & delivered requirements
- Building reports – Creating of best in class reporting that use historical and predictive data
- Machine learning – Experience using machine learning to ensure that the reporting suite was ever evolving
- Phython programming
